Most "SEO methodology" is theater. This is operator-grade. Four phases, sequential, no skipping ahead.

1. Visibility — proof before pitch

We start by mapping every surface where you already exist online: Google index, Bing, Wikidata, Wikipedia, Knowledge Graph, social profiles, GitHub, ORCID, Google Play, regulatory filings, press mentions. The output is a one-page audit of what machines currently see versus what you claim to be. Discrepancies become the work list.

2. Diagnosis — study the system

We trace why specific gaps exist. Wrong canonical? Missing structured data? Stale Wikidata? Knowledge Panel pulling from a competitor entity? Each gap has a root cause and a sequencing requirement: you cannot claim a Knowledge Panel without a stable Wikidata Q-item; you cannot get an Article rich result without ISO-8601 datePublished. The diagnosis becomes the engagement plan.

3. Intervention — build the infrastructure

Schema.org @graph deployed sitewide. Wikidata claims added with verifiable sources. Knowledge Panel claimed and edited. Cross-domain entity references reconciled. AI citation footprints monitored across ChatGPT, Gemini, Perplexity, Claude. Each piece is documented so your team can maintain it after we leave.

4. Measurement — what compounded

Quarterly authority report: Knowledge Panel coverage, AI citation frequency, branded search volume, entity recognition across major surfaces. We compare before and after on real query buckets, not vanity metrics. If something did not move, we say so and iterate.

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Engagement tiers, pricing, and the free entity audit live at /work/. The methodology comes from documented practice running three companies (PT Arsindo, PT Witanabe, PT Hibrkraft), eight years of digital strategy work, and the 50-book Operator's Handbook series that codifies the underlying frameworks.

For the flat-URL canonical mirror, see /work-method/.